Match Made Tech is hiring: Senior Machine Learning/ AI Engineer- (Hybrid- Greenf

Job Title: Senior AI / Machine Learning Engineer SPONSORSHIP NOT AVAILABLE- MUST BE US CITIZEN/ GREEN CARD HOLDER LOCATION: Irvine, CA (onsite). Monday throughThursday onsite, Fridays remote. COMPENSATION: $75-95 an hour.This is a 2-year contract that will convert to full-time. About Us We are on a mission to develop innovative AI solutions that will revolutionize the way workforces operate. As we embark on a new greenfield AI project , we’re seeking an exceptional AI/ML Engineer to help design and deliver production-grade machine learning models from the ground up. Position Overview As an AI/ML Engineer , you’ll play a pivotal role in shaping this high-priority AI initiative. You will design, build, and deploy models in collaboration with data scientists, engineers, and domain experts—helping to create solutions that will operate at scale across a global workforce Responsibilities Model Development Collaborate with data scientists to define objectives and requirements. Design, develop, and train ML models using state-of-the-art techniques. Data Preparation Work with large datasets, ensuring quality through preprocessing and transformation. Implement pipelines and augmentation methods to support training. Deployment & Optimization Deploy ML models into production with a focus on scalability and performance. Conduct experiments, fine-tune algorithms, and optimize hyperparameters. Implement monitoring and ongoing maintenance of models. Collaboration & Documentation Work cross-functionally with engineers, scientists, and domain experts. Document processes, best practices, and share insights with the team. Qualifications Bachelor’s or Master’s in Computer Science, Machine Learning, or related field. 3+ years of proven experience developing and deploying ML models. Strong programming skills in Python . Proficiency in TensorFlow , PyTorch , or scikit-learn . Experience with data preprocessing, pipelines, and feature engineering . Familiarity with AWS , containerization (Docker, Kubernetes). Strong problem-solving and analytical mindset. Excellent communication and collaboration skills. Experience with LLM's Why Join Us Greenfield opportunity – build from the ground up, no legacy systems. Impact solutions at global scale . Work alongside a talented, diverse team in a fast-paced environment. Competitive pay with clear path to full-time conversion . Professional growth and advancement opportunities. #J-18808-Ljbffr